CVAT vs. VGG Image Annotator (VIA)
Learn how CVAT and VGG Image Annotator (VIA) compare in terms of supported task types, enterprise features like SSO and RBAC, and more.
Tools
CVAT
CVAT is an open source computer vision labeling tool that also offers a managed annotation solution.
VGG Image Annotator (VIA)
VGG Image Annotator (VIA) is a standalone application for manual image, audio, and video annotation.
| Feature | CVAT | VGG Image Annotator (VIA) |
|---|---|---|
| Supported Vision Task Types | Object detection, instance segmentation, keypoints, classification | Object detection, instance segmentation (polygons), keypoints, classification; video and audio annotation in VIA 3 |
| Offers SSO? | Yes | No |
| Offers Role-Based Access Control (RBAC)? | Yes | No |
| Dataset Analytics Support | Limited | No |
| Labeling History Support | No | No |
| Semantic Dataset Search | No | No |
| Image Augmentation Support | No | No |
| Offers Foundation Model Label Assistant? | Yes (SAM, SAM 2 and SAM 3 click-to-mask tools; SAM 2 video tracking) | No |
| Model Training Offered? | No | No |
| Deployment Offered? | No | No |
| Offers an Interactive Vision Application Builder? | No | No |
| Website URL | View website | View website |
| How to buy | Online & Sales | Free download |
| Tool pricing | View pricing | Free, open source (BSD-2-Clause) |
| Documentation | View documentation | View documentation |
Compare CVAT and VGG Image Annotator (VIA)
When comparing CVAT to VGG Image Annotator (VIA), both tools support core annotation tasks such as bounding boxes, polygons, and classification. But they differ significantly in scale, usability, and workflow capabilities. CVAT, originally developed at Intel and now maintained by CVAT.ai, is a more advanced, web-based tool designed for team collaboration and high-volume labeling, with features like keyframe interpolation for video, keyboard shortcuts, and role-based access control. VIA, developed by Oxford’s Visual Geometry Group, is a lightweight, in-browser tool best suited for quick annotation projects. It requires no installation and works offline, but lacks user accounts, access control, analytics, and model integration.
Here are the key differences:
- Ease of Use & Setup: VIA is ultra-lightweight and runs entirely in your browser, making it great for individual use. CVAT requires setup but offers more control and scalability for larger teams.
- Collaboration & Access Control: CVAT supports team workflows with role-based permissions. VIA 3 can share a project between annotators through a project server, but has no user accounts or permissions.
- Video & Advanced Labeling: CVAT supports frame-by-frame video annotation and keyframe interpolation. VIA 3 annotates video and audio as well, but assisted object tracking needs its separate VGG Visual Tracker variant.
- Analytics & Workflow Support: VIA has no analytics, history tracking, or automation. CVAT offers limited analytics, AI-assisted labeling with Segment Anything and detector models, and more extensibility for large, structured projects.
VIA is ideal for quick, one-off projects or educational use where simplicity is key. CVAT is better suited for structured, collaborative workflows involving large datasets or video. Both tools can be extended with comprehensive computer vision platforms such as Roboflow to unlock model training, augmentation, and deployment capabilities.